(text)
Jude Shavlik, ICML-98: Call for Participation http://www.cs.wisc.edu/icml98/
--
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~~~~~~~~~~~~ Quotable Quote ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
'The first rule of discovery is to have brains and good luck.
The second rule of discovery is to sit tight and wait till you
get a bright idea.'
G. Polya. How To Solve It. 2nd Ed. 1957. (thanks to Dr. Alex Alves Freitas) Previous1NextTop
Date: Wed, 13 May 1998 10:34:23 -0700
From: Mary Beth Jensen jensen@aaai.org
Subject: KDD-98 Hotel and Transportation Information
Housing
AAAI has reserved a block of rooms at the New York Marriott Marquis Hotel
at reduced conference rates. Conference attendees must contact the hotel
directly and identify themselves as KDD-98 registrants to qualify for the
reduced rates. Hotel rooms are priced as singles (1 person, 1 bed), and
doubles (2 persons, 2 beds). Rooms will be assigned on a first-come,
first-served basis. Hotel rooms are subject to applicable state and local
taxes (currently 8.25% New York State Tax, 5% New York City Tax and a $2.00
per room per day Occupancy Tax) in effect at the time of check in.
Headquarters Hotel:
New York Marriott Marquis
1535 Broadway
New York, New York 10036
Phone: 212-398-1900
Fax: 212-704-8930
Single room: $147.00
Double room: $147.00
Additional Person: $15.00
Check-in time: 3:00 pm
Check-out time: 12:00 noon
CDT August 5, 1998.
All reservation requests must be accompanied by a first night room deposit,
or guaranteed with a major credit card. The hotel will not hold any
reservations unless guaranteed by one of the above methods. All reservation
requests will require a one night's advance deposit that will be refundable
only if the reservation is canceled at least twenty-four hours prior to the
arrival date.
Air Transportation and Car Rental
New York City, New York - Get there for less!
Discounted fares have been negotiated for this event. Call Conventions in
America at 800-929-4242 and ask for Group #428. You will receive 5%-10%
off the lowest applicable fares on American Airlines and United Airlines,
or the guaranteed lowest available fare on any carrier. Take an additional
5% off if you purchase at least 60 days prior to departure. Travel between
August 24 - September 3, 1998. All attendees booking through CIA will
receive free flight insurance. Avis Rent A Car is also offering special
low rates, with unlimited free mileage. Call Conventions in America at
1-800-929-4242, ask for Group #428. Reservation hours: M-F 6:30 AM -5:00
PM Pacific Time. Outside US and Canada, call 619-453-3686/Fax
619-453-7976. E-mail address flycia@scitravel.com
If you call direct:
American 1-800-433-1790, ask for index #10309, United 800-521-4041, ask for
tour code #512QW, Avis 800-331-1600 ask for AWD #J947822.
Ground Transportation
The following information provided is the best available at press time.
Please confirm fares when making reservations.
Airport Connections
Gray Line Air Shuttle: John F.Kennedy International Airport/LaGuardia
Airport /Newark International Airport: 800-451-0455. The fare from
JFK/LaGuardia/Newark Airports to the New York Marriott Marquis Hotel is
$14.00 per person. Traveler's checks and cash are accepted.
Taxi
Taxis are available at JFK/LaGuardia/Newark Airports to the New York
Marriott Marquis Hotel . The approximate fare from JFK to the New York
Marriott Marquis is $30, from LaGuardia $25 and from Newark $45.
Bus
Port Authority Bus Terminal: The depot is located at Eighth Avenue at
40th-42nd Streets, Manhattan. For information on fares and scheduling,
call 212-564-8484 or 201-659-8823.
Rail
Amtrak-National Railroad Passenger Corporation is located at Penn Station,
Seventh Avenue (31st-33rd Streets) New York City. For general information
and ticketing, call 800-USA-RAIL.
Metro North Railroad operates from the Grand Central Terminal to 119
stations in New York, Connecticut and New Jersey. The Grand Central
Terminal is located at 42nd Street and Park Avenue. For general
information and ticketing, call 800-METRO-INFO or 212-532-4900.
City Transit System
Public Buses and Subways: MTA-New York City Transit Fare is $1.50
regardless of distance traveled. (Exact change, subway token or MetroCard
required.) For general information call 718-330-1234.
Parking
Parking is available at the New York Marriott Marquis Hotel. The rate for
valet parking for the first six hours is $20.00 and for 24 hour parking
$30.00. There is no self parking.
Disclaimer: In offering American Airlines, Avis Rent A Car, New York
Marriott Marquis Hotel, United Airlines and all other service providers,
(hereinafter referred to as 'Supplier(s)' for the Fourth International
Conference on Knowledge Discovery and Data Mining, AAAI acts only in the
capacity of agent for the Suppliers which are the providers of the service.
Because AAAI has no control over the personnel, equipment or operations of
providers of accommodations or other services included as part of the
KDD-98 program, AAAI assumes no responsibility for and will not be liable
for any personal delay, inconveniences or other damage suffered by
conference participants which may arise by reason of (1) any wrongful or
negligent acts or omissions on the part of any Supplier or its employees,
(2) any defect in or failure of any vehicle, equipment or instrumentality
owned, operated or otherwise used by any Supplier, or (3) any wrongful or
negligent acts or omissions on the part of any other party not under the
control, direct or otherwise, of AAAI.
__________________________________
Mary Beth Jensen
Conference Coordinator
American Association for Artificial Intelligence (AAAI)
445 Burgess Drive
Menlo Park, CA 94025, USA
Phone: 650-328-3123
Fax: 650-321-4457 jensen@aaai.org http://www.aaai.org
Silicon Graphics released version 2.5 of the award-winning MineSet
software product for data mining and visualization.
MineSet 2.5 software tools revolutionize customers' decision support
process by offering parallelized data mining algorithms for faster
performance as well as new analytical tools, such as regression,
clustering, and decision tables for more intuitive comprehension of
data.
MineSet 2.5 Features include parallel implementation of Decision Tree
inducer, Option Tree inducer, Regression Tree inducer,
Naive-Bayes/Evidence inducer and discretization for faster time to
insight. The clustering algorithm allows segmentation of data into
clusters that are similar, such as identification of customer segments
for target marketing. A matching visualizer helps users understand the
segments quickly. The Decision-table inducer with matching visualizer
that simplifies multi-dimensional analysis for intuitive OLAP,
allowing users to determine critical factors in business scenarios.
What people said about MineSet:
MineSet provides executives with the analytical and visual insight
necessary to make critical decisions about their businesses. It is
evident that with the new features in MineSet 2.5, Silicon Graphics
has created one of the best analytical and visual data mining
solutions available today.'
-- Aaron Zornes, vice president of
Application Delivery Strategies Services at META Group.
We chose MineSet because we are aiming to integrate MineSet's
unparalleled visualization and data mining tools with our
state-of-the-art business intelligence tools we developed in-house
-- Win Farrell, partner of
Emerging Solutions Group at Coopers & Lybrand L.L.P.
MineSet 2.5 redefines the standard in data mining with tighter
integration of comprehensive analytical and visualization tools to
better serve the needs of users in key industries such as
telecommunications, manufacturing, government, retail, sciences and
financial services. Pharmaceutical scientists can bring drugs to
market faster by navigating through vast amounts of genomic data and
mining for complex relationships between genes and diseases. In
addition, business executives and marketing specialists can translate
results of MineSet business models into profitable marketing campaigns
by automatically generating ROI curves.
MineSet 2.5 is available for immediate sale. MineSet customer
training is now bundled with purchases of MineSet client and server.
Also included are a color tutorial, a hard copy user manual, an
evaluation copy of Hummingbird Communications' Exceed3D for using
MineSet on Windows(TM) 95 and NT, and an evaluation copy of Conceptual
Software's DBMS/Copy for translating dozens of data formats to
MineSet.
Previous3NextTop
Date: Sun, 3 May 1998 15:02:03 -0500 (CDT)
From: Michalakis Michael blackys@ittc.ukans.edu
Subject: Data Reduction in predicting stock market ?
Hello there !
My name is Michalakis E. Michael and I'm a graduate student at the
University of Kansas. I'm very much interested on Time Series problems.
Specifically I'm very much interested on the effect of population size
reduction on the prediction of financial stock-market data using
clustering based on time granularity.
In essence the general topic is data reduction (specifically population
size reduction) in order to save space and forecasting time of financial
temporal databases.
I would be very glad if you could point out some papers that you think are
good for reading. Most importantly I'm looking for some related research
to the one I'm currently doing.
Thanks in advance
Michalakis E. Michael
-------------------------------------- ------------------------------
| Michalakis E. Michael | University of Kansas |
| blackys@ittc.ukans.edu
| Dept. of EE/Comp. Science |
| http://www.ittc.ukans.edu/~blackys
| Grad. Research Assistant |
-------------------------------------- ------------------------------ Previous4NextTop
Date: Wed, 13 May 1998 21:29:47 +0800
From: Stephen Koo skoo@hkstar.com
Subject: Interview with Beat Wuthrich from Hong Kong University
Web: http://home.hkstar.com/~skoo/beat.htm
Dear Gregory,
I have recently interview with Beat Wuthrich from Hong Kong University
of Science and Technology. As the first person introduced datamining
course in the university, Beat shared with about the datamining
education and research in Hong Kong. Beat also told us his attitude
towards the datamining research.
BLOOMINGTON, Ind.--(BUSINESS WIRE)--April 15, 1998--Megaputer
Intelligence unveils its new complete data mining solution,
PolyAnalyst Lite for Windows95. PolyAnalyst is a multi-strategy data
mining solution based on the latest achievements in automated
knowledge discovery in databases. It is used in marketing, banking,
finance, insurance, retailing, and pharmaceuticals. PolyAnalyst Lite
appeals to users wishing to surpass limitations of traditional data
analysis offered by various statistical packages, but are not ready to
spend thousands of dollars on top-end data mining systems. It has the
same GUI and majority of exploration engines as a more powerful
PolyAnalyst NT but is significantly cheaper, targeting the broader
small business and academic community.
PolyAnalyst Lite features:
* Convenient object-oriented environment for data analysis with point-and-click GUI
* Versatile data manipulation and visualization tools, self-learning exploration engines
* Unique algorithms for testing significance of the discovered model
* Cluster engine finds and separates compactly lying groups of records
* Find Dependencies engine determines multi-dimensional set of the most influential
independent variables and sifts out exceptions from the found dependence
* Linear Regression with automated selection of important independent variables works with categorical or binary, in addition to numerical variables
* Classify engine finds predictive rule and assigns records to different classes
* Discriminate engine determines what combination of features sets a specified dataset apart from the rest of data
* Convenient reporting: mixture of text, graphics and system reports assembled in a hard copy printout
* Direct data exchange with MS Excel accommodates the lower end users
* Communication with ODBC-compliant databases
In a larger corporate environment PolyAnalyst Lite can become an
inexpensive mobile data analysis unit. It reads and generates the
same project format files as mighty PolyAnalyst NT. The user can copy
the results of analysis performed by PolyAnalyst NT in the main office
and take the project file home for further evaluation, visualization,
and executive report generation utilizing PolyAnalyst Lite.
'PolyAnalyst is a state-of-the-art system in the reliability,
accuracy, and diversity of automatically built models. PolyAnalyst is
capable of building reliable trading strategies even for a difficult
to predict FOREX market,' says Alexander Fomenko, Analytical
Department Director of Killiney Investments, LLC.
Pricing: Megaputer Web Shop promotion - $295, Retail - $395
We are pleased to announce another data mining and visualization
course using Silicon Graphics' award winning MineSet 2.5 product.
By attending this course, you will understand:
1. Data mining and knowledge discovery.
2. The MineSet product, capabilities, and limitations.
3. How to use MineSet to solve your business problems
and maximize the value of your data.
4. The MineSet interfaces that allow building
applications around MineSet, web-launching, and deployment.
The three-day course is provided by an outside instructor.
MineSet engineers will be available to answer questions.
The course will be held in Mountain View, CA on June 2-4
with more courses available (see web page).
The Third Pacific-Asia Conference on
Knowledge Discovery and Data Mining
Beijing, China
April 26-28, 1999
Papers Due: October 10, 1998
Sponsored by:
Tsinghua University
National Science Foundation of China
Chinese Computer Federation
The Third Pacific-Asia Conference on Knowledge Discovery and Data Mining
(PAKDD-99) will provide an international forum for the sharing of original
research results and practical development experiences among researchers
and application developers from different KDD related areas such as
machine learning, databases, statistics, knowledge acquisition,
data visualization, knowledge-based systems, soft computing, and
high performance computing.
It will follow the success of PAKDD-97 held in Singapore in 1997
and PAKDD-98 held in Australia in 1998 by bringing together participants
from universities, industry and government.
Papers on all aspects of knowledge discovery and data mining are welcome.
Areas of interest include, but are not limited to:
- Theory and Foundational Issues in KDD
- KDD Algorithms and Methods
- Process-Centric KDD
- Soft Computing for KDD
- High Performance Data Mining and Applications
(edited -- see website for full details GPS)
Both research and applications papers are solicited.
All submitted papers will be reviewed on the basis of technical quality,
relevance to KDD, originality, significance, and clarity.
Accepted papers are expected to be published in the conference
proceedings by Springer-Verlag in the Lecture Notes in Artificial
Intelligence series. A selected number of PAKDD-99 accepted papers
will be expanded and revised for inclusion in 'Knowledge and
Information Systems: An International Journal' by Springer-Verlag http://www.sd.monash.edu.au/kais/.
PAKDD Best Paper Awards will be conferred
on the authors of the best papers at the conference.
Authors are invited to submit Four copies of their manuscript
(maximum 5,000 words) to one of the addresses below:
------------------------------------------------
Prof. Ning Zhong (PAKDD-99)
Dept. of Computer Science and Systems Engineering
Faculty of Engineering, Yamaguchi University
Tokiwa-Dai, 2557, Ube 755, Japan
Tel&Fax: +81-836-35-9949
Email: zhong@ai.csse.yamaguchi-u.ac.jp
Papers from China:
~~~~~~~~~~~~~~~~~~
Prof. Lizhu Zhou (PAKDD-99)
Dept. of Computer Science and Technology
Tsinghua University
Beijing 100084, China
Email: dcszlz@mail.tsinghua.edu.cn
------------------------------------------------
Please include a cover page containing the title,
authors (names, postal and email addresses),
a 200-word abstract and up to 5 keywords.
This cover page must accompany the paper.
*************** I m p o r t a n t D a t e s ***************
* 4 copies of full papers received by: October 10, 1998 *
* Acceptance notices: December 20, 1998 *
* Camera-readies due by: January 30, 1999 *
* Conference: April 26-28, 1999 *
*************************************************************
Call for Tutorial Proposals
~~~~~~~~~~~~~~~~~~~~~~~~~~~
PAKDD-99 will offer a tutorial program on KDD topics.
We would be able to present only a limited number of tutorials,
and the selection would be guided by the perceived quality and
relevance to the conference.
If you are interested in giving a tutorial,
please send a proposal to zhong@ai.csse.yamaguchi-u.ac.jp
by Oct. 10, 1998.
Call for Workshop Proposals
~~~~~~~~~~~~~~~~~~~~~~~~~~~
PAKDD-99 will provide a venue for one or two workshops
to focus on advanced research areas of KDD.
Please submit suggestions for workshop proposals
to zhong@ai.csse.yamaguchi-u.ac.jp
by Oct. 10, 1998.
Call for Panel Proposals
~~~~~~~~~~~~~~~~~~~~~~~~
Proposals are sought for panels that stimulate interaction between
the communities contributing to KDD.
Include title, the main goals, prospective participants and
a summary of the topics to be discussed.
Please email panel proposals to zhong@ai.csse.yamaguchi-u.ac.jp
by Oct. 10, 1998.
Call for Exhibits
~~~~~~~~~~~~~~~~~
PAKDD-99 will organize a data mining, OLAP and data warehouse
product exhibition.
Please send proposals for exhibits to zhong@ai.csse.yamaguchi-u.ac.jp
by Oct. 10, 1998.
Orlando, Florida, during the week of 5-9 April 1999.
Data Mining and Knowledge Discovery - Theory, Tools, and Technology
Contact Conference Chair - Belur V. Dasarathy, Dynetics, Inc. via
e-mail at belur.d@dynetics.com
or belur@ieee.org
for more information
on submission format and deadlines.
Program Committee (in alphabetical order): Tej Anand, Golden Books;
Andreas Arning, IBM; Germany , Ernest Chan, Morgan Stanley; Bruce
Croft, Univ. of Massachusetts; Usama Fayyad, Microsoft Corporation;
Ronen Feldman, Bar-Ilan University, Isreal; Steve Gallant, Knowledge
Stream; Daniel Keim, Univ. of Halle, Germany; T. Y. Lin, San Diego
State University; Hong Jun Lu, Hong Kong Univ. of Science & Tech. Hong
Kong; Ismail Parsa, Epsilon; Jude Shavlik, Univ. of Wisconsin; Kyuseok
Shim, Lucent / Bell Labs; Ramakrishnan Srikant, IBM; Hannu Toivonen,
Univ of Helsinki, Finland; Jan Zytkow, University of North Carolina.
The conference is designed to emphasize the inter-disciplinary nature
of the fields of data mining and knowledge discovery, nurture and
exploit the synergism among the contributing disciplines and widen the
scope for application of these tools to cover the aerospace, defense,
civilian domains. Papers are invited in all areas of interest to the
DM&KD community, including:
- Theorectical foundations of Data Mining and Knowledge Discovery
- Machine learning and pattern recognition Tools for DM&KD
- Applied statistical tools including clustering
- Algorithmic techniques including fuzzy approaches to database query
- Applications of DM & KD to expert systems
- Mining massive data stores of sensor data in manufacturing
- Mining remotely sensed multispectral and hyper-spectral imagery data bases
- Mining knowledge in various data scenarios including text, image,
audio, sensor, numeric, symbolic, or mixed format data sources
- Internet applications.
- Other Applications of DM&KD in Science, Engineering, Medicine
including Government and Industry
A keynote address by Dr. Fayyad, one of the leading proponents of the
field, is being planned. The conference will also include a seminar
/tutorial/ panel discussion, details of which will be announced in due
course.
1998 INTERNATIONAL CONFERENCE ON MACHINE LEARNING (ICML-98)
If you are interested in attending the 1998 Intl.
Machine Learning Conference, and I hope you are,
please note that the AAAI office will be handling
advance registration (even if you're not also
registering for AAAI).
Please also be aware that two of ICML's blocks of
hotel rooms are only being held until *** JUNE 1 ***.
So I recommend that you make your hotel reservations soon.
Contact information for ICML hotels and dorms, as well as other
information about Madison and the conf (including the lists of
accepted papers and invited speakers), can be
obtained by visiting the conf web page mentioned above.
PKAW98, The 1998 Pacific Rim Knowledge Acquisition Workshop
Sponsored by PRICAI98
Venue & Date
Singapore, November 22-23, 1998
1. Introduction
The objective of this workshop is to assemble theoreticians and
practitioners concerned with developing methods and systems that
assist the knowledge acquisition process and assessing the suitability
of such methods. Thus, the workshop includes all aspects of
eliciting, acquiring, modeling and managing knowledge, and their role
in the construction of knowledge-intensive systems. Knowledge
acquisition still remains the bottleneck for building a knowledge based
system. Reuse and sharing of knowledge bases are major issues and
no satisfactory solutions have been agreed upon yet. There is a wide
range of research. Much of the work in this field has been knowledge
acquisition from human experts. The advent of the age of digital
information has brought the problem of data overload. Our ability to
analyze and understand massive datasets lags far behind our ability to
gather and store the data. A new generation of computational
techniques and tools is required to support the acquisition of useful
knowledge from the rapidly growing volume of data. All of these are to
be discussed in this workshop.
This workshop offers an opportunity to draw together both aspects of
dealing with the situated nature of human knowledge and expertise and
of developing methods that depend more on their algorithmic adequacy
than on the expertise of the knowledge engineer.
2. Topics of Interest
Papers are invited in all aspects of knowledge acquisition for
knowledge-based systems, including (but not restricted to):
o Fundamental views on knowledge that affect the knowledge
acquisition process and the use of knowledge in knowledge
engineering
o Algorithmic approaches to knowledge acquisition
o Tools and techniques for knowledge acquisition, knowledge
maintenance and knowledge validation
o Evaluation of knowledge acquisition techniques, tools and methods
o Knowledge acquisition, machine learning and knowledge discovery
o Languages and frameworks for knowledge and knowledge modeling
o Integration of knowledge acquisition techniques with wider
information systems or decision support systems
o Methods and techniques for sharing and reusing knowledge
o Distributed knowledge acquisition through infrastructures such as
the Internet
Papers due by: July 10, 1998
Notification of Acceptance: September 10, 1998
Camera-ready version of Final Paper due: October 10, 1998
Date of Workshop: November 22-23, 1998
Knowledge Discovery Nuggets Index